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ddelcastillof

PROFILE

Ddelcastillof

Daniel Del Castillo developed and enhanced metabolomics data analysis workflows in the childhealthbiostatscore/CHCO-Code repository over a three-month period. He implemented a kynurenine-to-tryptophan ratio calculation, integrated baseline data pipelines, and revamped CKM progression analytics using R and R Markdown. His work focused on reproducible data wrangling, statistical modeling—including linear mixed models and regression—and streamlined reporting for biomarker and survival analyses. Daniel also improved code maintainability by removing deprecated scripts and documentation. The depth of his contributions enabled robust, reproducible analytics for health data, supporting more reliable insights and accelerating data-driven decision-making in bioinformatics and metabolomics research.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

7Total
Bugs
0
Commits
7
Features
4
Lines of code
1,353
Activity Months3

Your Network

173 people

Shared Repositories

53
Shivani RameshMember
Casey SakamotoMember
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Hailey HampsonMember
Hailey HampsonMember
Hailey HampsonMember
Hailey HampsonMember
Hailey HampsonMember

Work History

January 2026

2 Commits • 1 Features

Jan 1, 2026

January 2026 monthly summary for CHCO-Code repository: Delivered revamp of CKM Metabolomics Analysis with integrated linear mixed models and linear regression across plasma and urine, plus comprehensive data wrangling, modeling, and result visualization to strengthen CKM progression analysis. Conducted codebase cleanup to remove deprecated scripts and outdated documentation, reducing technical debt and stabilizing the codebase for future enhancements. No explicit customer-reported bugs fixed this month; primary value came from reliability, maintainability, and faster iteration cycles.

September 2025

4 Commits • 2 Features

Sep 1, 2025

This month, the CHCO-Code repository focused on establishing a robust metabolomics data pipeline for CKM, enabling baseline integration, data wrangling, and streamlined reporting to support CKM progression analyses. Work laid the foundation for reproducible analytics and downstream survival modeling, with an emphasis on data quality, baseline alignment, and efficient reporting.

August 2025

1 Commits • 1 Features

Aug 1, 2025

During August 2025, delivered a new kynurenine-to-tryptophan ratio calculation feature in CHCO-Code, adding a new column 'kyu.tryp.ratio.in.nM/mM' to the base dataset across two R Markdown files. Major commit: 9c699f2f2dbf34f8dcd2fabc2503acebf683e127. Impact: enhances biomarker analytics, enabling richer downstream insights and more robust reporting; improves reproducibility through R Markdown workflows. Technologies/skills: R, data wrangling, R Markdown, and reproducible data pipelines. Business value: accelerates biomarker analysis, supports data-driven decisions for health analytics.

Activity

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Quality Metrics

Correctness85.8%
Maintainability85.8%
Architecture80.0%
Performance80.0%
AI Usage22.8%

Skills & Technologies

Programming Languages

R

Technical Skills

BioinformaticsData AnalysisData WranglingMetabolomicsRR ProgrammingR programmingStatistical Analysisbioinformaticsdata analysisdata wranglingstatistical modeling

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

childhealthbiostatscore/CHCO-Code

Aug 2025 Jan 2026
3 Months active

Languages Used

R

Technical Skills

Data AnalysisR ProgrammingBioinformaticsData WranglingMetabolomicsR